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Learning Classifier Systems
[chapter]
2008
Using Artificial Intelligence in Chemistry and Biology
Learning Classifier Systems use reinforcement learning, evolutionary computing and/or heuristics to develop adaptive systems. This paper extends the ZCS Learning Classifier System to improve its internal modelling capabilities. Initially, results are presented which show performance in a traditional reinforcement learning task incorporating lookahead within the rule structure. Then a mechanism for effective learning without external reward is examined which enables the simple learning system to
doi:10.1201/9780849384141.ch9
fatcat:6zbqx7caynh4nfatqjqzyt7omy